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Exercise1

KBL: Chapter 4 Exercise1
Workflow: Chapter 4/Exercise 1 This workflow:- reads the wine data from the KBLdata folder- partitions the data: 80% to training set, 20% to test set- trains a decision tree to predict the wine class based on all other attributes (i.e. data columns)- applies the model to the test set- scores the right guess of Prediction(Class) vs. the original Class values. wine.datafrom folder KBLdatausing knime: protocoland relative pathto local workflow folder80% vs. 20%Node 8Class as TargetClass vs.Prediction(Class) File Reader Partitioning Decision TreePredictor DecisionTree Learner Scorer (JavaScript) Workflow: Chapter 4/Exercise 1 This workflow:- reads the wine data from the KBLdata folder- partitions the data: 80% to training set, 20% to test set- trains a decision tree to predict the wine class based on all other attributes (i.e. data columns)- applies the model to the test set- scores the right guess of Prediction(Class) vs. the original Class values. wine.datafrom folder KBLdatausing knime: protocoland relative pathto local workflow folder80% vs. 20%Node 8Class as TargetClass vs.Prediction(Class)File Reader Partitioning Decision TreePredictor DecisionTree Learner Scorer (JavaScript)

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On NodePit since: 2020-04-23
Last update: 2024-04-25
Created with KNIME version: v4.0.0
Tags: EducationKNIMEPressPartitionDecision treeScorer

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